Mikyoung Jun
Mikyoung Jun
Bestätigte E-Mail-Adresse bei central.uh.edu - Startseite
Zitiert von
Zitiert von
Spatial analysis to quantify numerical model bias and dependence: How many climate models are there?
M Jun, R Knutti, DW Nychka
Journal of the American Statistical Association 103 (483), 934-947, 2008
Nonstationary covariance models for global data
M Jun, ML Stein
The Annals of Applied Statistics 2 (4), 1271-1289, 2008
An approach to producing space–time covariance functions on spheres
M Jun, ML Stein
Technometrics 49 (4), 468-479, 2007
Generic Escherichia coli contamination of spinach at the preharvest stage: effects of farm management and environmental factors
S Park, S Navratil, A Gregory, A Bauer, I Srinath, M Jun, B Szonyi, ...
Applied and environmental microbiology 79 (14), 4347-4358, 2013
Covariance approximation for large multivariate spatial data sets with an application to multiple climate model errors
H Sang, M Jun, JZ Huang
The Annals of Applied Statistics, 2519-2548, 2011
Local eigenvalue analysis of CMIP3 climate model errors
M Jun, R Knutti, DW Nychka
Tellus A: Dynamic Meteorology and Oceanography 60 (5), 992-1000, 2008
Statistical comparison of observed and CMAQ modeled daily sulfate levels
M Jun, ML Stein
Atmospheric Environment 38 (27), 4427-4436, 2004
Non‐stationary cross‐covariance models for multivariate processes on a globe
M Jun
Scandinavian Journal of Statistics 38 (4), 726-747, 2011
Spatio-temporal asymmetry of local wind fields and its impact on short-term wind forecasting
AA Ezzat, M Jun, Y Ding
IEEE transactions on sustainable energy 9 (3), 1437-1447, 2018
A class of Matérn-like covariance functions for smooth processes on a sphere
J Jeong, M Jun
Spatial Statistics 11, 1-18, 2015
Spherical process models for global spatial statistics
J Jeong, M Jun, MG Genton
Statistical science: a review journal of the Institute of Mathematical …, 2017
Farm management, environment, and weather factors jointly affect the probability of spinach contamination by generic Escherichia coli at the preharvest stage
S Park, S Navratil, A Gregory, A Bauer, I Srinath, B Szonyi, K Nightingale, ...
Applied and environmental microbiology 80 (8), 2504-2515, 2014
A test for stationarity of spatio-temporal random fields on planar and spherical domains
M Jun, MG Genton
Statistica Sinica, 1737-1764, 2012
Multifactorial effects of ambient temperature, precipitation, farm management, and environmental factors determine the level of generic Escherichia coli contamination on …
S Park, S Navratil, A Gregory, A Bauer, I Srinath, B Szonyi, K Nightingale, ...
Applied and environmental microbiology 81 (7), 2635-2650, 2015
Matérn-based nonstationary cross-covariance models for global processes
M Jun
Journal of Multivariate Analysis 128, 134-146, 2014
Observation quality control with a robust ensemble Kalman filter
S Roh, MG Genton, M Jun, I Szunyogh, I Hoteit
Monthly Weather Review 141 (12), 4414-4428, 2013
A statistical investigation of the sensitivity of ensemble-based Kalman filters to covariance filtering
M Jun, I Szunyogh, MG Genton, F Zhang, CH Bishop
Monthly Weather Review 139 (9), 3036-3051, 2011
Spatio-temporal short-term wind forecast: A calibrated regime-switching method
AA Ezzat, M Jun, Y Ding
The annals of applied statistics 13 (3), 1484, 2019
Covariance models on the surface of a sphere: when does it matter?
J Jeong, M Jun
Stat 4 (1), 167-182, 2015
Baseline data for distribution of contaminants by natural disasters: results from a residential Houston neighborhood during Hurricane Harvey flooding
G Bera, K Camargo, JL Sericano, Y Liu, ST Sweet, J Horney, M Jun, ...
Heliyon 5 (11), e02860, 2019
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